Name
Abstract | ||
|---|---|---|
In this paper, we propose a Virtual Intraoperative Cholangiogram (VIC) training platform. Intraoperative Cholangiogram (IC) is an imaging technique of biliary anatomy with using fluorescent fluids sensitive to the X-Rays. The procedure is often employed to diagnose the difficult cases such as abnormal anatomy or choledocholithiasis during the laparoscopic cholecystectomy. The major challenge in cholangiogram is accurate interpretation of the X-Ray image, which requires extensive case training. However, the training platforms that support generation of various IC cases have been lacking. In this study, we developed a web based platform to generate IC images from any virtual bile duct anatomy. As the generation of X-Ray image from 3D scene is a computationally intensive task, we utilized WebCL technology to parallelize the computation for achieving real-time rates. In this work, we present details of our WebCL IC generation algorithm and benchmark results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/978-1-61499-625-5-459 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
X-Ray,WebCL,Virtual Intraoperative Cholangiogram | Intraoperative cholangiogram,Data mining,Computer vision,Simulation,Laparoscopic cholecystectomy,Software,Artificial intelligence,Medicine | Conference |
Volume | ISSN | Citations |
220 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Yu | 1 | 0 | 0.68 |
| Doga Demirel | 2 | 0 | 0.68 |
| Tansel Halic | 3 | 82 | 13.71 |
| Sinan Kockara | 4 | 107 | 11.25 |